Powered by deep learning and video analytics, the Traffic Incident Detection Algorithm suite accurately identifies a wide range of abnormal driving behaviors and risk events—including illegal parking, wrong-way driving, congestion, fatigue driving, pedestrian or animal intrusion, object dropping, emergency lane occupation, and lane departure. The system also incorporates intelligent driver attribute recognition, enabling comprehensive situational awareness of traffic participants. Designed for complex environments such as urban roads, highways, and transportation hubs, it enhances traffic management with greater automation, precision, and responsiveness.